Emotions - Traditional View, Decision Research, Towards AI

1. CIIC#5995&100#/#ICOM#5995&100
Human#Perspective#in#Artificial#Intelligence#
(HPAI)
Professor'José'Meléndez,'PhD
https://zoom.us/j/955599657
“To understand the basic emotional operating systems of the
brain, we have to begin relating incomplete sets of neurological
facts to poorly understood psychological phenomena that
emerge from many interacting brain activities.”
; Jaak Panksepp (1942.2017)

2. Announcements
• Final&Exam:&May&13,&2019;&7:30AM69:30AM&(S6203)
• Zoom&Links&for&April&2019
• April&17:&https://zoom.us/j/357654736&
• April&22:&https://zoom.us/j/449807517&(ONLINE&ONLY)
• April&24:&https://zoom.us/j/238801790
• April&29:&https://zoom.us/j/427557182

3. Required(Reading((Previously(Noted)
• How$Emotions$are$Made:$The$Secret$Life$of$the$Brain
• Chapter(6:(How(the(Brain(Makes(Emotions
• Chapter(7:(Emotions(as(Social(Reality
• Chapter(8:(A(New(View(of(Human(Nature
• Chapter(9:(Mastering(Your(Emotions
• Chapter(13:(From(Brain(to(Mind:(The(New(Frontier
• The(brain(integrates,(“so(much(information(from(multiple(
sources(so(efficiently(that(it(can(support(consciousness.”

4. Next%Up
• Emotions(– Traditional(View
• Emotions(in(Decision(Research
• Emotions(for(Artificial(Intelligence(Systems

5. Science&of&Emotion&– Traditional&View
• Emotions(characterized(by(attributes:
• Something(that(“happens(to”(you
• “Flavors”:(Positive,(Negative,(Neutral(
• Eliciting(or(intentional(object((aboutness)
• Enable(pursuit(of(goals((serve(function)
• Inhibit(pursuit(of(goals
• MultiEcomponent(response
• Subjective((what(it(feels(like)
• Body(aspects((physiological(including(brain)
• Outward(display(of(behavior

6. Science&of&Emotion&– Construction
• Emotions(characterized(by(attributes:
• Something(that(“happens(to” you(construct.
• Affect “Flavors”:(Positive,(Negative,(Neutral(
• Eliciting(or(intentional(object((aboutness)
• Enable(pursuit(of(goals((serve(function)
• Inhibit(pursuit(of(goals
• MultiGcomponent(response
• Subjective((what(it(feels(like)
• Body(aspects((physiological(including(brain)
• Outward(display(of(behavior(is(not(a(signature(or(“finger(print”
• Thought/Cognition

7. Emotion'“Classification”'– Traditional'View
• Basic/Discrete
• Anger,/Disgust,/Fear,/Happiness,/Anger/and/Disgust
• Plus/more/“complex”/emotion/concept/words
• Affective/Circumplex
• Two/Dimensional/“State”/(static/C not/time/dependent)
• Valence/(pleasant/unpleasant)
• Arousal/(agitation/calmness)
• Primary/classification/systems/limited/to/discrete/or/
steadyCstate responses.
• Akin/to/classifying/your/thoughts
• “Classification”/of/emotion/is/square/peg/in/round/hole

8. Affective(Circumplex
How$Emotions$are$Made,$Figure$455

9. Affective(Circumplex
• Flawed'model'of'limited'utility'for'Emotion'Implementation
• Transforms'diverse'subjective'concepts'into'subjective'and'
arbitrary'dimensions'(recall'Feldman’s'tribal'studies)
• Requires'to'label'emotions'as'good'(pleasant)'or'bad'
(unpleasant)'
• Does'not'capture'emotional'space'as'continuous'
• Creates'false nonBsubjective,'quantitative'sense
• ”Low'Arousal”'is'arbitrarily'large'negative'quantity'and'not'
approximately'zero!!
How'Emotions'are'Made,'Figure'4B5

10. Emotion'“Elicitation”
• Handbook(of(Emotion(Elicitation(and(Assessment
• Tools%&%Methods%to%Elicit%emotions
• Film%clips%(audio%&%visual)%– reactivity,%regulation,%
understanding
• Static%photos%(visual)%– Arousal%and%Valence%“standard”%
levels
• “Relived%Emotions”%– semiCstructured%of%influence
• Autobiographical
• Shared%memories%(e.g.%9/11)
• Dyadic%Interaction%(“live”)%– how%you%feel

11. Example:)Elicitation)– Static)Photos
https://www.researchgate.net/figure/A3sample3of3standardized3images3classified3as3representing3each3basic3emotion3within3the_fig2_280312285

12. Example:)Elicitation)– Static)Photos
https://www.researchgate.net/figure/A3sample3of3standardized3images3classified3as3representing3each3basic3emotion3within3the_fig2_280312285

13. Example:)Elicitation)– Static)Photos
https://www.researchgate.net/figure/A3sample3of3standardized3images3classified3as3representing3each3basic3emotion3within3the_fig2_280312285

14. Example:)Elicitation)– Static)Photos
https://www.researchgate.net/figure/A3sample3of3standardized3images3classified3as3representing3each3basic3emotion3within3the_fig2_280312285

15. Example:)Elicitation)– Static)Photos
https://www.researchgate.net/figure/A3sample3of3standardized3images3classified3as3representing3each3basic3emotion3within3the_fig2_280312285

16. Example:)Elicitation)– Static)Photos
https://www.researchgate.net/figure/A3sample3of3standardized3images3classified3as3representing3each3basic3emotion3within3the_fig2_280312285

17. Example:)Elicitation)– Static)Photos
https://www.researchgate.net/figure/A3sample3of3standardized3images3classified3as3representing3each3basic3emotion3within3the_fig2_280312285

18. Example:)Elicitation)– Static)Photos
https://www.researchgate.net/figure/A3sample3of3standardized3images3classified3as3representing3each3basic3emotion3within3the_fig2_280312285

19. Example:)Elicitation)– Static)Photos
https://www.researchgate.net/figure/A3sample3of3standardized3images3classified3as3representing3each3basic3emotion3within3the_fig2_280312285

20. Example:)Elicitation)– Static)Photos
https://www.researchgate.net/figure/A3sample3of3standardized3images3classified3as3representing3each3basic3emotion3within3the_fig2_280312285

21. Example:)DEAP)Data)Set)/ Summary
• The$DEAP$dataset$consists$of$two$parts:
• The$ratings$from$an online&self)assessment where$120$
one;minute$extracts$of$music$videos$were$each$rated$by$
14;16$volunteers$based$on$arousal,$valence$and$
dominance.
• The$participant$ratings,$physiological$recordings$and$face$
video$of$an experiment where$32$volunteers$watched$a$
subset$of$40$of$the$above$music$videos.$EEG$and$
physiological$signals$were$recorded$and$each$participant$
also$rated$the$videos$as$above.$For$22$participants$
frontal$face$video$was$also$recorded.
https://www.eecs.qmul.ac.uk/mmv/datasets/deap/readme.html

22. Example:)DEAP)Data)Set)/ Files
https://www.eecs.qmul.ac.uk/mmv/datasets/deap/readme.html

23. DEAP%Data%Set%– Online%Ratings
https://www.eecs.qmul.ac.uk/mmv/datasets/deap/readme.html

24. DEAP%Data%Set%– Elicitation%Videos
https://www.eecs.qmul.ac.uk/mmv/datasets/deap/readme.html

25. DEAP%Data%Set%– Participant%Ratings
https://www.eecs.qmul.ac.uk/mmv/datasets/deap/readme.html

26. DEAP%Data%Set%* Questionnaire
https://www.eecs.qmul.ac.uk/mmv/datasets/deap/readme.html

27. Example:)DEAP)Data)Set)/ Files
https://www.eecs.qmul.ac.uk/mmv/datasets/deap/readme.html

28. Example:)DEAP)Data)Set)– File)Details
https://www.researchgate.net/profile/Joseph_Erlichman/publication/230864997/figure/fig34/AS:341917163376655@1458530812418/SurfaceFmapFofFEEGFelectrodeFlocations.png

29. Example:)DEAP)Data)Set)/ Files
https://www.eecs.qmul.ac.uk/mmv/datasets/deap/readme.html

30. Example:)DEAP)Data)Set)/ Files
https://www.eecs.qmul.ac.uk/mmv/datasets/deap/readme.html

31. Example:)DEAP)Data)Set)– Data/Videos
https://www.eecs.qmul.ac.uk/mmv/datasets/deap/readme.html

32. Next%Up
• Emotions(in(Decision(Research
• Emotions(for(Artificial(Intelligence(Systems